Pixel defect correction in a CMOS active pixel image sensor

ABSTRACT

Effectively defect free images are obtained from CMOS image sensors through a two step method in which the addresses of bad pixels are recorded during sensor testing and stored in an on-chip directory. Then, during sensor readout, each pixel address is checked to determine if it represents that of a bad pixel. If this is determined to be the case, the bad pixel value is replaced by another value. This replacement value is generated from an average of the nearest-neighbors that are not defective. If testing is performed at the wafer level, said bad pixel and nearest neighbor data may be used to modify the final level wiring so that bad pixels are disconnected and replaced by their nearest neighbors.

FIELD OF THE INVENTION

The invention relates to the general field of color imaging with particular reference to permanently correcting the handling of bad pixels.

BACKGROUND OF THE INVENTION

A CMOS image sensor consists of an array of Field Effect transistors, each of which acts as a pixel, together with various support circuits for driving and reading out the signal. A bad pixel is defined as a pixel whose response is noticeably different from the response of the other pixels in the array under dark or uniformly illuminated conditions. Pixel defects can be caused for many reasons including high leakage, circuit defects, dust particles, scratches, color filter nonuniformity, or microlens defects. The two extremes for such defects are: dead pixels, which are always dark, and hot pixels which are always saturated. No matter their origin, bad pixels degrade image quality because even one defective pixel can stand out in an image made up of millions of good pixels.

Color interpolation, sharpening and other software-based image processing operations are often used to neutralize the effects of bad pixels but these can actually further degrade image quality by corrupting good pixels that are the neighbors of a bad pixel. Additionally, a bad pixel introduces high frequency components to an image which impacts the compression ratio.

Another method of dealing with defective pixels involves the use of two exposures in succession with a small diagonal shift of the entire sensor of 10 to 20 pixels between the two exposures. The computer then combines the two exposures into a single image which will have very few missing pixels. For further accuracy, this method can be extended to three successive exposures with diagonal shifts of the sensor between each exposure.

Although it is highly desirable to have an image sensor that is entirely defect-free, selecting arrays having only good sensors with not a single bad pixel is not a viable alternative as it would drive down manufacturing yield and significantly increase cost. The present invention teaches how image sensors may be made to be effectively defect-free by detecting, and then correcting for, the bad pixels. An approach of this type carries with it the additional benefit of making arrays, that might otherwise have been rejected after testing, useable.

A routine search of the prior art was performed but no references that teach the exact processes and structures of the present invention were discovered. Several references of interest were, however, encountered along the way. For example, in U.S. Pat. No. 5,528,043 and U.S. Pat. No. 5,886,353, Spivey, et al. both describe an imaging system for producing images from electromagnetic radiation such as x-rays. Their system includes a detector comprised of a radiation-absorbing layer sandwiched between an array of CMOS integrated circuits (pixel circuits) and a surface electrode layer transparent to the radiation. Each of the pixel circuits in the array has a charge-collecting electrode. An external voltage applied between the surface electrode layer and the charge collecting electrodes produces an electric field across the thickness of the absorbing layer pixels and even missing rows or columns are corrected by having the computer assign values to the missing pixels by interpolation between the values of the neighboring pixels.

SUMMARY OF THE INVENTION

It has been an object of the present invention to provide a method for correcting bad pixels in a CMOS image sensor array.

Another object of the invention has been that said method require only a single exposure of the image that is being sensed at the time the bad pixels are corrected.

A further object of the invention has been that said method be easy to implement and not significantly impact current manufacturing processes for making said sensors.

These objects have been achieved by a two step method in which the addresses of bad pixels are recorded during sensor testing and stored in an on-chip directory. Then, during sensor readout, each pixel address is checked to determine if it represents that of a bad pixel. If this is determined to be the case, the bad pixel value is replaced by another value. This replacement value can be generated from an average of the nearest-neighbors that are not defective.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic representation of a Bayer pattern color mosaic.

FIG. 2 illustrates how two nearest neighbors may be used to correct a bad pixel.

FIG. 3 illustrates the case when one of the nearest neighbors is itself defective.

DESCRIPTION OF THE PREFERRED EMBODIMENTS

The method of the present invention may be divided into two principal steps. The first step is to record the addresses of bad pixels during sensor testing, both with and without illumination. These addresses are permanently stored on-chip (for example, by means of fusible link technology, anti-fuse technology, or flash memory technology). The second step is implemented during sensor readout. Each pixel address is checked to determine if it represents that of a bad pixel. If this is determined to be the case, the bad pixel value is replaced by another value. This replacement value is generated from an average of the nearest-neighbors that are not defective. All these operations are easily integrated with the CMOS image sensor hardware on the same IC chip.

In a monochromatic sensor, nearest neighbors would also be immediate neighbors but, in a color sensor, the replacement value will necessarily be generated from other pixels that are the same color as the bad pixel. To illustrate the method of the present invention, a color sensor 11 with a Bayer pattern color mosaic—blue-green, green-red (BG, GR) is shown in FIG. 1. A Bayer pattern is a particular assignment of color patterns in a two dimensional color filter array. A typical example of a unit pattern for a Bayer 

1. A method for improving a CMOS active image sensor chip that includes an array of pixels, comprising: providing, on said chip, a directory for storing pixel addresses; testing the pixel array to determine at which addresses bad pixels are located; permanently storing in said directory said bad pixel addresses; focusing an image on the image sensor; checking the directory to determine if any given pixel of the sensor array is bad; if a particular pixel is found to be bad, thereby showing that its signal is spurious, transferring signal intensity data from the bad pixel's nearest neighbors into a buffer memory; from said nearest neighbor data, computing a replacement value for the bad pixel; and substituting said replacement value for said bad pixel signal value.
 2. The method recited in claim 1 wherein the step of permanently storing the bad addresses further comprises using fusible link technology or anti-fuse technology or flash memory technology.
 3. The method recited in claim 1 wherein the step of computing replacement signal data from nearest neighbors and then transferring it to the array is performed on the chip.
 4. The method recited in claim 1 wherein the step of computing replacement signal data from nearest neighbors and then transferring it to the array is performed on a separate chip.
 5. The method recited in claim 1 wherein the step of computing replacement signal data from nearest neighbors and then transferring it to the array is performed on a host computer.
 6. The method recited in claim 1 wherein said nearest neighbors are in the same row as the bad pixel.
 7. The method recited in claim 1 wherein said nearest neighbors are in the same column as the bad pixel.
 8. The method recited in claim 1 wherein said nearest neighbors are on the same diagonal as the bad pixel.
 9. A method for improving a Bayer pattern color mosaic, comprising: providing a chip having an array of alternating blue-green and red-green sensors; providing, on said chip, a directory for storing pixel addresses; testing the pixel array to determine at which addresses bad pixels are located; permanently storing in said directory said bad pixel addresses; focusing an image on the array; checking the directory to determine if any given pixel of the sensor array is bad; if a particular pixel is determined to be bad, thereby showing that its signal is spurious, transferring signal intensity data, derived from the bad pixel's nearest neighbors of the same color, into a buffer memory; from said same-color nearest neighbor data, computing a replacement value for the bad pixel; and substituting said replacement value for said bad pixel signal value.
 10. The method recited in claim 9 wherein the step of permanently storing the bad addresses further comprises using fusible link technology or anti-fuse technology or flash memory technology.
 11. The method recited in claim 9 wherein the step of computing replacement signal data from same-color nearest neighbors and then transferring it to the array is performed on the chip.
 12. The method recited in claim 9 wherein the step of computing replacement signal data from same-color nearest neighbors and then transferring it to the array is performed on a separate chip.
 13. The method recited in claim 9 wherein the step of computing replacement signal data from same-color nearest neighbors and then transferring it to the array is performed on a host computer.
 14. The method recited in claim 9 wherein said same-color nearest neighbors are limited to the same row as the bad pixel.
 15. The method recited in claim 9 wherein said same-color nearest neighbors are in the same column as the bad pixel.
 16. The method recited in claim 9 wherein said same-color nearest neighbors are on the same diagonal as the bad pixel.
 17. A method for improving a pixel array, comprising: testing the pixel array to determine at which address a bad pixel is located; disconnecting said bad pixel from the array; and connecting one or more of said bad pixel's nearest neighbors to the array at said address, whereby said nearest neighbors serve, in combination, as a replacement for said bad pixel.
 18. The method recited in claim 17 wherein the steps of disconnecting said bad pixel from, and connecting one or more nearest neighbor pixels to, the array further comprises using fusible link technology or anti-fuse technology.
 19. The method recited in claim 17 wherein the step of testing the pixel array to determine at which address a bad pixel is located is performed prior to dicing into chips, thereby enabling the steps of disconnecting said bad pixel from, and connecting one or more nearest neighbor pixels to, the array to be accomplished by means of chip-level wiring.
 20. The method recited in claim 17 wherein said nearest neighbors are all in the same row as the bad pixel. 